Titusz

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upvoted a collection 7 months ago

IQuest-Coder

Collection

14 items • Updated Mar 3 • 113

upvoted 2 articles 8 months ago

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Article

Train 400x faster Static Embedding Models with Sentence Transformers

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tomaarsen

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Jan 15, 2025

• 233

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Article

mmBERT: ModernBERT goes Multilingual

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mmarone, orionweller, will-fleshman, eugene-yang, dlawrie, vandurme

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Sep 9, 2025

• 152

upvoted a paper 11 months ago

RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

Paper • 2401.18059 • Published Jan 31, 2024 • 48

upvoted an article 11 months ago

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Article

Welcome EmbeddingGemma, Google's new efficient embedding model

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tomaarsen, Xenova, alvarobartt, ariG23498, pcuenq, sergiopaniego

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Sep 4, 2025

• 276

upvoted 2 articles about 1 year ago

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Article

Towards Open Evolutionary Agents

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driaforall

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Aug 4, 2025

• 23

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Article

Binary and Scalar Embedding Quantization for Significantly Faster & Cheaper Retrieval

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aamirshakir, tomaarsen, SeanLee97

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Mar 22, 2024

• 135

upvoted an article over 1 year ago

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Article

Open-source DeepResearch – Freeing our search agents

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m-ric, albertvillanova, merve, thomwolf, clefourrier

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Feb 4, 2025

• 1.32k

upvoted a collection about 2 years ago

abliterated-v3

Collection

Latest gen of the abliterated models I've produced • 17 items • Updated Jun 3, 2024 • 142

upvoted a collection over 2 years ago

My favorite models (benchs+usage/feel+innovation)

Collection

How I select models ? First, I bench them, to trim the overfit & dumbified models. Then, I test them. The smartest to my taste end-up here. • 10 items • Updated Mar 19, 2025 • 8